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IMPLEMENTASI FUZZY TIME SERIES MULTIVARIAT UNTUK MEMPREDIKSI CURAH HUJAN DI KOTA PALEMBANG

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Penilaian

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Rainfall prediction is carried out in an effort to determine the state of rainfall in the future. Because the amount of rainfall that will occur is not easy to know for sure. So in this study, predict using the Multivariate Fuzzy Time Series Method because it can project future data based on time series data. The advantages of the multivariate Fuzzy Time Series method have 2 factors, 1 variable as the main factor and 8 variables as supporting factors. The error rate is calculated using AFER. Based on testing in the prediction of rainfall in Palembang city using the Multivariate Fuzzy Time Series method, the prediction results that are close to the actual data are on January 4, 2016 using data for 3 years of 4.034435 with very light rainfall intensity and AFER of 0.1455%. Keywords: Prediction, Rainfall, Multivariate Fuzzy Time Series

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000871	T34526	T345262020	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T345262020

Publisher

Indralaya : Jurusan Teknik Informatika Fakultas Ilmu Komputer Universtas Sriwijaya., 2020

Collation

xxviii, 85 hlm.; ilus., tab: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Informatika
Memprediksi Curah Hujan

Specific Detail Info

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Statement of Responsibility

TUTI

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